51 to 75 of 654 Snowflake Jobs

Analytics teams within the financial services and insurance sectors in the UK. Demonstrable experience in key analytics software and technologies (e.g. SQL, Python, BigQuery, Snowflake, dBT, etc.) and reporting tools (e.g. PowerBI). Deep knowledge of Microsoft Excel in a commercial setting. Experience with cloud-based platforms (AWS/Azure More ❯

Travel up to 10% of the time. Bonus Points If You Have ETL/ELT Tools (AbInitio, DataStage, Informatica) Cloud Tools and Databases (AWS, Snowflake) Other programming languages (Unix scripting, Python, etc.) Leverage CI/CD framework for data integration, Open Source Experience working in cloud platforms (AWS, GCP, Azure More ❯

ETL/ELT workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such More ❯

ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran More ❯

Dimensional (Kimball) data modelling. • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL). Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake). • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database. • MongoDB. • Cloud Data Technologies (Mainly More ❯

and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure More ❯

focused role, leveraging your strong background in Java, Python, workflow automation solutions (ex: Workato), web services (REST/OpenAPI), messaging frameworks (Kafka), data platforms (Snowflake), cloud technologies (AWS/GCP), and containerization (Kubernetes/Docker) to build innovative solutions. You will use your strong knowledge of B2B Marketing business domains More ❯

and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

based hybrid in London with a minimum of 3 days in-office. As an Analytics Engineer, you will: * Work with cutting-edge technologies including Snowflake, DBT, SQL, Azure/AWS, and Data Vault * Design and maintain scalable data models, pipelines, and validation processes * Collaborate with engineers, architects, and stakeholders to More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

in: web and mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

6+ years of experience in data engineering within large-scale digital environments. Strong programming skills in Python, SQL, and Spark (SparkSQL) . Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. More ❯

architectures . Solid understanding of AWS services and DevOps principles. Passion for writing clean, maintainable code and improving team practices. Nice-to-Have Skills Snowflake/Data Warehousing DevOps & CI/CD experience GraphQL Benefits Competitive salary Pension & private medical (after probation) Employee discounts and more Ready to make an More ❯

architectures . Solid understanding of AWS services and DevOps principles. Passion for writing clean, maintainable code and improving team practices. Nice-to-Have Skills Snowflake/Data Warehousing DevOps & CI/CD experience GraphQL Benefits Competitive salary Pension & private medical (after probation) Employee discounts and more Ready to make an More ❯

Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data initiatives and projects. Responsible for leading a More ❯

or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career path in More ❯

or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic opportunity to lead the Data Platform Engineering division whether you decide to take your career path in More ❯

mentoring or supporting the development of team members. Azure SQL DB, Data Factory, Data Lake, Logic apps, Data Bricks (Spark SQL) and/or Snowflake experience is advantageous. More ❯

and trade data. Strong analytical and technical skills, particularly in: SQL (writing queries, data extraction and manipulation) Microsoft Excel (advanced) Power Apps Experience with Snowflake or similar cloud-based data warehouses Data modelling and architecture documentation Experience in Agile delivery methodologies (Scrum, Kanban). Familiarity with tools such as Azure More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

and trade data. Strong analytical and technical skills, particularly in: SQL (writing queries, data extraction and manipulation) Microsoft Excel (advanced) Power Apps Experience with Snowflake or similar cloud-based data warehouses Data modelling and architecture documentation Experience in Agile delivery methodologies (Scrum, Kanban). Familiarity with tools such as Azure More ❯

Equity Derivative business. Cloud Technologies: Experience with cloud platforms like Azure or AWS. Cutting-Edge Tech: Familiarity with technologies such as Kafka, IBM MQ, Snowflake, or high-performance data caching solutions. Interview Process (3 Rounds) 1st Round Peer to Peer Coding 2nd and 3rd Round Technical Evaluations More ❯

Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or More ❯

and attention to detail. Strong communication and collaborative skills. Qualifications: Computer Science, Engineering, Mathematics, Statistics, Physics Degrees are welcome. Business Intelligence, Analytics Masters, DBT, Snowflake and Data Vault certifications as well. What do We offer Permanent contract. Flexible Schedule. We make it easy. Balance your professional and personal life. Trainings More ❯